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Dataherald enables you to embed Natural Language to SQL (“NL-to-SQL” or "Text-to-SQL") into your product. The NL-to-SQL API, built with an LLM, allows your users to conduct no-code data analytics, pull reports, get answers to data questions, and conduct complex data queries using just natural language.
Previously Reconnecting Labs Inc. (DBA HiGeorge), HiGeorge
Anuj Saigal is co-founder of Spark AI. He spent a decade building energy infrastructure at SunEdison, EVgo, and the Department of Energy before building the permitting tool he always needed. Previously CEO of Dataherald (YC W21), revenue lead at Nauto. Northwestern Kellogg MBA, UC Berkeley Economics.
CTO/Co-Founder of Dataherald. Prior to Dataherald, Amir worked as a PM at Microsoft, founded a mobile messaging startup and led his family business. He studied EECS and Applied Mathematics at UC Berkeley.
Founded 2020 · Source
Source-based assessment · automated evidence rules
The source reports an inactive or acquired company; current product identity needs review.
Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.
Investigate ranking problems, develop signals, and compare reproducible experiments with your team and coding agents.
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Context.dev is the web scraping API for AI agents: scrape any URL into LLM-ready Markdown, search the live web, crawl entire sites, and extract structured data with one REST API.
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Parse, extract, and split your hardest documents with unmatched accuracy. Read any layout with specialized vision models, and ship reliable pipelines in minutes, not months.
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The stock market API built for AI agents. Real-time and historical financial data, SEC filings, and financial statements for 27,530 tickers over 30+ years, all through one REST API.
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Pulse converts complex information into LLM-ready inputs. Our API supports all document formats, from PDFs to Word, Excel, etc. Pulse integrates seamlessly with any existing data pipeline in minutes without any training or complexity.
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